The third 'CHiME'speech separation and recognition challenge: Dataset, task and baselines
The CHiME challenge series aims to advance far field speech recognition technology by
promoting research at the interface of signal processing and automatic speech recognition …
promoting research at the interface of signal processing and automatic speech recognition …
The third 'CHiME'speech separation and recognition challenge: Analysis and outcomes
This paper presents the design and outcomes of the CHiME-3 challenge, the first open
speech recognition evaluation designed to target the increasingly relevant multichannel …
speech recognition evaluation designed to target the increasingly relevant multichannel …
Towards unified all-neural beamforming for time and frequency domain speech separation
Recently, frequency domain all-neural beamforming methods have achieved remarkable
progress for multichannel speech separation. In parallel, the integration of time domain …
progress for multichannel speech separation. In parallel, the integration of time domain …
DNN-based speech mask estimation for eigenvector beamforming
L Pfeifenberger, M Zöhrer… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
In this paper, we present an optimal multi-channel Wiener filter, which consists of an
eigenvector beamformer and a single-channel postfilter. We show that both components …
eigenvector beamformer and a single-channel postfilter. We show that both components …
Modeling speech structure to improve TF masks for speech enhancement and recognition
S Bu, Y Zhao, T Zhao, S Wang… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Time-frequency (TF) masks are widely used in speech enhancement (SE). However,
accurately estimating TF masks from noisy speech remains a challenge to both statistical or …
accurately estimating TF masks from noisy speech remains a challenge to both statistical or …
The CHiME challenges: Robust speech recognition in everyday environments
The CHiME challenge series has been aiming to advance the development of robust
automatic speech recognition for use in everyday environments by encouraging research at …
automatic speech recognition for use in everyday environments by encouraging research at …
Dual-channel spectral weighting for robust speech recognition in mobile devices
Many mobile devices now include an extra microphone, frequently placed at their rear,
intended to obtain information about the environmental noise for speech de-noising …
intended to obtain information about the environmental noise for speech de-noising …
Teager energy subband filtered features for near and far-field automatic speech recognition
Automatic Speech Recognition (ASR) usually works well with close-talking microphone
environment rather than in far-field conditions. A major challenge in the far-field ASR …
environment rather than in far-field conditions. A major challenge in the far-field ASR …
Automatic speech recognition in mobile customer care service
MP Sahu - International Journal of New Practices in Management …, 2015 - ijnpme.org
In the project an automatic speech system is used in mobile customer care services. In
existing mobile customer care services, customer have to wait for 4 to 5 minutes to get into …
existing mobile customer care services, customer have to wait for 4 to 5 minutes to get into …
Microphone array speech separation algorithm based on dnn
C Wu, L Zhou, X Chen, L Chen - 2021 Asia-Pacific Signal and …, 2021 - ieeexplore.ieee.org
Microphone array speech separation in high reverberant and low signal-to-noise ratio (SNR)
environments, is still a challenge. This paper utilizes a deep neural network (DNN) and …
environments, is still a challenge. This paper utilizes a deep neural network (DNN) and …